Job Description
Role Title: Computer Science Expert (PhD)
Role Type: Contractor
Location: Remote
Pay: $80 – $90/hr
Required Skills: Computer science, Phd, Python, Data science
micro1 is engaging Computer Science Experts (PhD) to contribute their advanced subject-matter expertise to a customer’s AI training initiative. In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Produce authoritative, accurate, and well-explained responses to advanced computer science queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.
- Review and evaluate computer science data, questions, and solutions to guarantee accuracy, completeness, and current best-practice alignment.
- Develop comprehensive explanations and justifications across a wide array of computer science concepts, spanning foundational and specialized areas of the field.
- Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
- Create exemplary “golden responses” that set benchmarks for future model outputs, ensuring consistency and reliability in training data.
- Document context and rationale behind answers to assist model interpretability and future annotation efforts.
- Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.
Preferred Qualifications
- PhD in Computer Science or a closely related field with robust expertise in both foundational and advanced topics.
- Proven ability to communicate intricate computer science concepts with precision in both written and verbal forms.
- Experience in developing, reviewing, or publishing scientific, technical, or educational computer science materials (such as research articles, curricula, industry reports, or peer reviews).
- Familiarity with multiple sub-disciplines within computer science (algorithms and theory, systems, artificial intelligence and machine learning, databases, computer networks, security, etc.) and the ability to adapt explanations for diverse audiences.
- Exceptional attention to detail with a commitment to analytical accuracy and methodological rigor.
- Experience with AI, data annotation, or digital content development projects is advantageous but not essential.
- Strong collaboration skills, particularly in remote or cross-functional environments.
